cv::stereo Namespace Reference

Classes
struct	CensusKernel
	A kernel in which a pixel is compared with the center of the window. More...
class	CombinedDescriptor
struct	Match
class	Matching
struct	MCTKernel
class	MeanKernelIntegralImage
struct	ModifiedCsCensus
struct	MVKernel
struct	PropagationParameters
class	QuasiDenseStereo
	Class containing the methods needed for Quasi Dense Stereo computation. More...
class	StarKernelCensus
	implementation for the star kernel descriptor More...
class	StereoBinaryBM
	Class for computing stereo correspondence using the block matching algorithm, introduced and contributed to OpenCV by K. Konolige. More...
class	StereoBinarySGBM
	The class implements the modified H. Hirschmuller algorithm [102] that differs from the original one as follows: More...
class	StereoMatcher
	Filters off small noise blobs (speckles) in the disparity map. More...
class	SymetricCensus
	paralel implementation of the center symetric census More...

Enumerations
enum	{   CV_DENSE_CENSUS,   CV_SPARSE_CENSUS,   CV_CS_CENSUS,   CV_MODIFIED_CS_CENSUS,   CV_MODIFIED_CENSUS_TRANSFORM,   CV_MEAN_VARIATION,   CV_STAR_KERNEL }
enum	{   CV_SPECKLE_REMOVAL_ALGORITHM,   CV_SPECKLE_REMOVAL_AVG_ALGORITHM }
	speckle removal algorithms. These algorithms have the purpose of removing small regions More...
enum	{   CV_QUADRATIC_INTERPOLATION,   CV_SIMETRICV_INTERPOLATION }
	subpixel interpolationm methods for disparities. More...

Functions
void	censusTransform (const cv::Mat &image1, const cv::Mat &image2, int kernelSize, cv::Mat &dist1, cv::Mat &dist2, const int type)
void	censusTransform (const cv::Mat &image1, int kernelSize, cv::Mat &dist1, const int type)
void	imageMeanKernelSize (const cv::Mat &img, int windowSize, cv::Mat &c)
void	modifiedCensusTransform (const cv::Mat &img1, const cv::Mat &img2, int kernelSize, cv::Mat &dist1, cv::Mat &dist2, const int type, int t=0, const cv::Mat &IntegralImage1=cv::Mat::zeros(100, 100, CV_8UC1), const cv::Mat &IntegralImage2=cv::Mat::zeros(100, 100, CV_8UC1))
void	modifiedCensusTransform (const cv::Mat &img1, int kernelSize, cv::Mat &dist, const int type, int t=0, const cv::Mat &IntegralImage=cv::Mat::zeros(100, 100, CV_8UC1))
void	starCensusTransform (const cv::Mat &img1, const cv::Mat &img2, int kernelSize, cv::Mat &dist1, cv::Mat &dist2)
void	starCensusTransform (const cv::Mat &img1, int kernelSize, cv::Mat &dist)
void	symetricCensusTransform (const cv::Mat &img1, const cv::Mat &img2, int kernelSize, cv::Mat &dist1, cv::Mat &dist2, const int type)
void	symetricCensusTransform (const cv::Mat &img1, int kernelSize, cv::Mat &dist1, const int type)

Enumeration Type Documentation

anonymous enum

anonymous enum

Enumerator
CV_DENSE_CENSUS
CV_SPARSE_CENSUS
CV_CS_CENSUS
CV_MODIFIED_CS_CENSUS
CV_MODIFIED_CENSUS_TRANSFORM
CV_MEAN_VARIATION
CV_STAR_KERNEL

Function Documentation

censusTransform() [1/2]

void cv::stereo::censusTransform	(	const cv::Mat &	image1,
		const cv::Mat &	image2,
		int	kernelSize,
		cv::Mat &	dist1,
		cv::Mat &	dist2,
		const int	type
	)

Two variations of census applied on input images Implementation of a census transform which is taking into account just the some pixels from the census kernel thus allowing for larger block sizes

censusTransform() [2/2]

void cv::stereo::censusTransform	(	const cv::Mat &	image1,
		int	kernelSize,
		cv::Mat &	dist1,
		const int	type
	)

imageMeanKernelSize()

void cv::stereo::imageMeanKernelSize	(	const cv::Mat &	img,
		int	windowSize,
		cv::Mat &	c
	)

modifiedCensusTransform() [1/2]

void cv::stereo::modifiedCensusTransform	(	const cv::Mat &	img1,
		const cv::Mat &	img2,
		int	kernelSize,
		cv::Mat &	dist1,
		cv::Mat &	dist2,
		const int	type,
		int	t = 0,
		const cv::Mat &	IntegralImage1 = cv::Mat::zeros(100, 100, CV_8UC1),
		const cv::Mat &	IntegralImage2 = cv::Mat::zeros(100, 100, CV_8UC1)
	)

STANDARD_MCT - Modified census which is memorizing for each pixel 2 bits and includes a tolerance to the pixel comparison MCT_MEAN_VARIATION - Implementation of a modified census transform which is also taking into account the variation to the mean of the window not just the center pixel

modifiedCensusTransform() [2/2]

void cv::stereo::modifiedCensusTransform	(	const cv::Mat &	img1,
		int	kernelSize,
		cv::Mat &	dist,
		const int	type,
		int	t = 0,
		const cv::Mat &	IntegralImage = cv::Mat::zeros(100, 100, CV_8UC1)
	)

starCensusTransform() [1/2]

void cv::stereo::starCensusTransform	(	const cv::Mat &	img1,
		const cv::Mat &	img2,
		int	kernelSize,
		cv::Mat &	dist1,
		cv::Mat &	dist2
	)

starCensusTransform() [2/2]

void cv::stereo::starCensusTransform	(	const cv::Mat &	img1,
		int	kernelSize,
		cv::Mat &	dist
	)

symetricCensusTransform() [1/2]

void cv::stereo::symetricCensusTransform	(	const cv::Mat &	img1,
		const cv::Mat &	img2,
		int	kernelSize,
		cv::Mat &	dist1,
		cv::Mat &	dist2,
		const int	type
	)

The classical center symetric census A modified version of cs census which is comparing a pixel with its correspondent after the center

symetricCensusTransform() [2/2]

void cv::stereo::symetricCensusTransform	(	const cv::Mat &	img1,
		int	kernelSize,
		cv::Mat &	dist1,
		const int	type
	)